The Object Placement Assessment (OPA) dataset helps in the verification of whether a composite image is plausible in terms of object placement. OPA is a synthesized dataset for Object Placement Assessment based on the COCO dataset. For an image to be plausible in terms of object placement, the foreground object should be placed at a reasonable location in the background considering location, size, occlusion, semantics, etc. The authors of the dataset selected unoccluded objects from multiple categories as the candidate foreground objects. The foreground objects were pasted on their compatible background images with random sizes and locations to form composite images. Then the images were sent to human annotators labeling.